Today’s
requirements
for
collecting
huge
amounts
of
data
are
different
from
several
years
back
when
only
relational
databases
satisfied
the
need
for
a
system
of
record. Now,
new
data
formats
need
to
be
acquired,
stored
and
processed
in
a
convenient
and
flexible
way.
Customers
need
to
integrate
different
systems
and
platforms
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Imagine
that
you’re
the
CIO
of
a
big
retailer
with
both
an
online
and
store
presence.
Christmas
season
is
coming,
and
last
year
around
this
time,
your
critical
business
processes
almost
broke
because
of
the
heavy
demand
for
deep
analytics
and
frequent
reporting
during
the
high
season.
What
would
you
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Have
you
ever
encountered
the
need
to
accelerate
reporting
within
SAP
Business
Warehouse
(SAP
BW)?
Did
you
find
a
feasible
solution
that
fits
your
budget
and
performance
requirements?
If
not,
then
you
might
be
interested
in
how
to
speed
up
SAP
Business
Intelligence
queries
using
IBM
PureData
System
for
Analytics,
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Have
you
dreamt
of
gaining
valuable
insights
from all the
data
you’ve
collected
over
many
years
of
business
without
adding
an
unbearable
burden
on
you
data
warehouse?
There
are
many
good
reasons
to
limit
the
amount
of
data
in
a
data
warehouse.
This
includes
costs,
storage
capacity,
backup
and
restore
limitations,
to
name
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Last
summer
the
students’
project
for
the
Extreme
Blue
initiative
from
IBM
and
Deutsche
Bank
has
been
a
great
success
for
our
German
team.
In
3
months,
2
students
of
Deutsche
Bank
as
well
as
2
IBM
students
delivered
5
“API
for
Banking”
apps
and
won
the
first
price
amongst
... mehr lesen

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